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Vol. 11, Issue 5 (2022)

Genetic variability assessment on yield attributing traits in maize (Zea mays L.) inbred lines

Author(s):
Prajjwal Pradhan, Bandan Thapa, Aditi Ghosh, Vaskar Subba, Chowa Ram Sahu and Sabyasachi Kundagrami
Abstract:
In the present investigation, 33 maize inbred lines were evaluated for 12 traits to assess the mean performance and genetic parameters relevant to adoption of a breeding strategy. Grain yield/plant, single cob weight, number of grains/cob, ear height and plant height which exhibited moderately high variability, high GCV, heritability and genetic advance, are the most important characters to be considered for effective selection of hybrid as these traits are highly genetically controlled and less affected by environments indicating additive genetic effects. The study identified six promising inbred lines on the basis of their mean performance, the following inbred lines CML 509, CML-505, CML 167, CML 163-D, CML-511 and DMR QPM 102 having best yield contributing and cob characters and could be tested in different agro-ecologies to identify those that could be introgressed for further breeding programmes.
Pages: 1642-1645  |  298 Views  79 Downloads


The Pharma Innovation Journal
How to cite this article:
Prajjwal Pradhan, Bandan Thapa, Aditi Ghosh, Vaskar Subba, Chowa Ram Sahu, Sabyasachi Kundagrami. Genetic variability assessment on yield attributing traits in maize (Zea mays L.) inbred lines. Pharma Innovation 2022;11(5):1642-1645.

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